Must-Have Skills & Experience:
- Strong hands-on experience as a Data Engineer.
- Strong proficiency in Python.
- Experience building and maintaining large-scale Apache Spark pipelines on AWS.
- Strong knowledge of the modern AWS Data Lake ecosystem, including:
- Amazon S3
- AWS Glue Data Catalog
- Amazon Athena
- Amazon EMR
- Amazon Redshift
- Experience designing and implementing reliable data ingestion, transformation, and validation pipelines at scale.
- Strong understanding of Data Lake architecture and best practices.
Differentiator / Preferred Experience:
- Hands-on experience with AWS Lake Formation permission models.
- Experience designing and testing:
- Row-level security
- Column-level filtering
- LF-TBAC (Tag-Based Access Control)
- Experience designing and validating end-to-end Data Lake permission models.
- Strong experience in test design, validation, and troubleshooting for large-scale data platforms and access-control models.
Data Engineer in Seattle at Tenarai
This position is listed as full time and onsite. It was posted 3 days ago.